Associate Professor, PhD Supervisor（博士生导师）.

Education

The University of Hong Kong, Hong Kong

Ph. D. in Industrial and Manufacturing Systems Engineering 2010.09~2014.12

Thesis: Solving Integrated Process Planning and Scheduling Problems with Metaheuristics

Zhejiang University

B. Eng. in Industrial Engineering 2005.09~2009.06

Research Interests

Operations Management, Intelligent Manufacturing Planning, Heuristics, Multi-Agent Network.

Teaching

2015 ~ : Lectures on Managment Science (Undergraduates);

2019 ~ : Managment Science (Master Students);

2019 ~ : Advanced Operations Research (PhD Students).

2014-2015-2: Principles of Marketing (Undergraduates);

2015 ~ 2018: Advanced Math I (International Students);

2017 ~ 2018: Advanced Math II (International Students);

2018-2019-1: Intermediate Management (Master Students);

Publications

Yu, C.,Zhang, L., Zhao, W., & Zhang, S. (2019). A blockchain-based service composition architecture in cloud manufacturing. International Journal of Computer Integrated Manufacturing, 1-11.

Yu, C., Shao, Y., Wang, K., & Zhang, L. (2019). A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment. Expert Systems with Applications, 121, 1-17.

Zhang, L., & Wong, T. N. (2016). Solving integrated process planning and scheduling problem with constructive meta-heuristics. Information Sciences, 340, 1-16.

Zhang, L., & Wong, T. N. (2015). An object-coding genetic algorithm for integrated process planning and scheduling. European Journal of Operational Research, 244(2), 434-444.

Zhang, L., Wong, T. N., & Fung, R. Y. (2013). A multi-agent system to support heuristic-based dynamic manufacturing rescheduling. Intelligent Decision Technologies, 7(3), 197-211.

Li, X., Zhang, L., & Yu, C. (2017, June). Integrate Manufacturing Planning to Cloud Manufacturing Framework. In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing (pp. V004T05A034-V004T05A034). American Society of Mechanical Engineers.

Wong, T. N., Zhang, S., Wang, G., &Zhang, L. (2012). Integrated process planning and scheduling–multi-agent system with two-stage ant colony optimisation algorithm. International Journal of Production Research, 50(21), 6188-6201.

Zhang, L., Wong, T. N., & Fung, R. Y. (2012, June). A multi-agent system for dynamic integrated process planning and scheduling using heuristics. In KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications (pp. 309-318). Springer, Berlin, Heidelberg.

Wan, S. Y., Wong, T. N., Zhang, S., &Zhang, L.(2011). Integrated process planning and scheduling with setup time consideration by ant colony optimization. In Proceedings of the 41st International Conference on Computer and Industrial Engineering, CIE41. CIE41..

Zhang, L., & Wong, T. N. (2013). Distributed genetic algorithm for integrated process planning and scheduling based on multi agent system. IFAC Proceedings Volumes, 46(9), 760-765.

Zhang, S., Wong, T.,Zhang, L., & Wan, S. (2011). A two-stage approach based on ant colony optimization algorithm for integrated process planning and scheduling. In Proceedings of the 41st International Conference on Computers & Industrial Engineering (pp. 804-809).

Zhang, L., & Wong, T. N. (2012). Solving integrated process planning and scheduling problem with constraint programming. In Proceedings of the Asia Pacific Industrial Engineering & Management Systems Conference 2012. APIEMS..